Scagnostics
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You can help expand this article with text translated from [[:de:Lua error in Module:WikidataIB at line 482: attempt to index field 'wikibase' (a nil value).|the corresponding article]] in Deutsch. (March 2022) Click [show] for important translation instructions.
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Scagnostics (scatterplot diagnostics) is a series of measures that characterize certain properties of a point cloud in a scatter plot. The term and idea was coined by John Tukey and Paul Tukey, though they didn't publish it; later it was elaborated by Wilkinson, Anand, and Grossman. The following nine dimensions are considered:[1][2]
- For the outliers in the data:
- outlying
- For the density of data points:
- skewed
- clumpy
- sparse
- striated
- For the shape of the point cloud:
- convex
- skinny
- stringy
- For trends in the data:
- monotony
